Research Session · Analysis 1.0

Accompanied by Dr. André Weinreich, Head of Research & Science from emolyzr/Humboldt University, I’ve run several sessions during the winter semester 2016/17. We now have a gathered some data for the movies which had have enough attendees.

The numerical data provides two main starting points: either analysing the questionaire or the plain heart rate data. We check several options to find some correlations between them. The first obvious result is the relation of mean heart rate and liking. At present we focus on cluster analyses from both “ends”: the average rating as well as the individual pulse.

These are the mean heart rates of each screened movie in alphabetical order. In this earlier post some reasons are given, why these films were chosen. Most movies have been screened in a lecture hall, some at a regular cinema, which clearly caused immersiveness at different levels.

Some clues to read the data:

Have a look which approx. mean heart rate the movie evokes

Watch for immediate changes (up or down)

Look for sections which continously differ from mean heart rate

The dynamic range, the film has caused in general, is an indicator as well

Can an overall trend be identified in individual sections or the entire film?

Legend

Passengers

Robocop

Schönefeld Boulevard

Sylke Enders · 2014 · n=15 (Berlin, Lecture Hall)

Stereo

Maximilian Erlenwein · 2014 · n=15 (Berlin, Lecture Hall)

Zootopia

Byron Howard/Rich Moore · 2016 · n=14 (Lemgo, Lecture Hall)

The analysis’ goal is to find some structure in observing the heart rate of movie goers. One outcome might be the relation between the heart rate and the likness. Because we are still in the process of applying different approaches, we are not yet ready to publish the whole data.

If you are interested to get more details of this movie analysis study, it’s progress in analysis, or how Movie Pulse can be used for analyzing any feature length movie yourself, get in touch.